| dc.contributor.author |
Roessgen, M |
|
| dc.contributor.author |
Boashash, B |
|
| dc.date.accessioned |
2012-06-18T16:24:25Z |
|
| dc.date.available |
2012-06-18T16:24:25Z |
|
| dc.date.issued |
1995 |
|
| dc.identifier.citation |
M. Roessgen and B. Boashash, "Seizure analysis of newborn EEG using a model based approach", in Proceedings of the International Conference on Acoustics, Speech and Signal Processing 1995 (ICASSP-95), vol. 3, pp. 1936-1939, Detroit, Michigan, May 1995 |
en_US |
| dc.identifier.uri |
http://dx.doi.org/10.1109/icassp.1995.480594 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10855 |
|
| dc.description.abstract |
This paper considers the problem of seizure detection
in the neonate based on electroencephalogram (EEG)
data. It will be shown that by using a histologically
and biophysically justifiable model for the generation
of the EEG, the detection of electrographic seizure is
greatly improved. The model is presented along with
an estimator for the model parameters. Then a simple
seizure detection scheme based on the model parameter
estimates is suggested. It is shown that this scheme is
superior in performance to spectral analysis techniques
such as the periodogram when used to analyse both
simulated and real EEG data. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.title |
Seizure analysis of newborn EEG using a model based approach |
en_US |
| dc.type |
Article |
en_US |